Open Science Resources on ScienceOpen

Photo credit: ‘Unlock’, Thomas Ulrich, Flickr, CC BY-SA 2.0

ScienceOpen has been committed to making science open from its onset. Some of our latest projects in realizing this commitment have been launching the ‘UCL Open: Environment‘ megajournal, contextualizing the new open access journal ‘BMJ Open Science’ into the ScienceOpen research discovery environment of 53 million article records, and offering some ideas on how you can contribute to open science in small but significant ways.

In light of the 6th Open Science Conference organized by the Leibniz Research Alliance Open Science in Berlin this week, we decided to give you an overview of some of the most relevant and diverse research content on open science curated in the form of researcher-led collections on ScienceOpen. Our research recommendations below discuss some of the most pertinent issues in open science, such as the FAIR data principles, reproducible research, metadata, and open access scholarship. Enjoy!

The FAIR data principles’ is the newest open science collection on ScienceOpen whose aim is to aggregate scholarly and grey literature on the principles of FAIR (findable, accessible, interoperable, reusable) data and its implications on research infrastructures. Curated by Laura Rothfritz and Maxi Kindling, this collection gathers research on topics such as the reuse of scientific data, “FAIRsharing” (working with and for the community to describe and link data standards, repositories and policies), fairness of FAIR data principles, and how to evaluate FAIR compliance.

Metadata’ is a community-curated collection of resources around metadata by Will Gregg and Stephanie Dawson. The collection serves as a literature review on the role of metadata in scholarly publishing developed out of the Metadata2020 initiative.

Open Research, Open Science, Open Scholarship‘ gathers peer reviewed articles and preprints relating in some way to Open Science, Open Research, and Open Scholarship. This collection is community-curated by Jon Tennant, Erzsébet Tóth-Czifra, Paola Masuzzo, and Tobias Steiner.

Research Paper of the Future and the Reproducible Research Compendium’—a collection curated by Gail Clement and Plato L. Smith II—foresees a “paper of the future,” where research communication is open, without obstacles, and knowledge is “Findable, Accessible, Inspectable/Interoperable, Reusable/Reproducible, and Extensible“. They use the “paper” as a metaphor for different representations of knowledge, such as text, code, data, materials, and methods – altogether telling a full story of a research argument. According to Clement and Smith, this is the future of accessible and interactive stories, for both humans and machines. This collection illuminates the features, functions, and models of what its editors call the “#FuturePaper“.

‘Open Access Scholarship and its Impact on Scholarly Communication and Library Science‘ by Jasmine Hoover explores research articles related to open access and its impact on scholarly communication, with a focus on library science. This collection explores issues such as the cost of open access publishing, how open science can help researchers suceed, and the unintended  consequences of journal hierarchy.

‘Good practices in (cog-neuro) science and science communication’ by Cyril Pernet and Jonathan Peelle contains a variety of articles related to good scientific and science communications, useful for authors and reviewers. It covers the fields of statistics and data visualization (including neuroimaging), data sharing, code sharing, and neuroimaging basic/tutorial style articles to make sure the fundamentals are respected.

‘Big Data Privacy’ by Brijesh Mehta collects research papers and articles from various journals related to privacy issues in big data, existing privacy preserving data publishing techniques, and privacy preserving big data publishing techniques. The main objective of this collection is to help the reader learn the basics of privacy preserving techniques and its applications to big data analytics or big data publication.

Further reading:

‘On Research Data Publishing’ by Leonardo Candela

‘Open Data in Research’ by Jasmine Hoover

‘Wikipedia Quality’ by Egon Willighagen

‘Reproducible research article collection’ by Steven Burgess and Naomi Penfold

If this is not enough resources for you, then visit our go-to resource for all scholarly communication topics on ScienceOpen—the ‘Scholarly Communication’ Super Collection—to discover even more research in open science!